文献类型：期刊文献

英文题名：Personalized learning design of ideology and politics of distance education courses based on big data

作者：Zhao, Junyan[1]; Yang, Xubiao[2]; Qiao, Qian[3]; Chen, Liqiong[4]

机构：[1] East China University of Science and Technology, School of Network Education, Shanghai, China; [2] Shanghai University of Engineering Science, College of Air Transport, Shanghai, China; [3] East China University of Science and Technology, School of Social and Public Administration, Shanghai, China; [4] Shanghai Institute of Technology, Department of Computer Science and Information Engineering, Shanghai, China

年份：2020

起止页码：135

外文期刊名：Proceedings of 2020 IEEE International Conference on Progress in Informatics and Computing, PIC 2020

收录：EI(收录号：20210910005814)

语种：英文

外文关键词：Big data - Distance education - Curricula - Students - Data mining

摘要：As an important position in education, distance education is a new subject faced by the education community under the new situation. In view of the problem of "islandization"in the process of ideological and political education in distance education based on big data technology, this paper proposes a personalized learning service framework for distance education students' ideological and political courses, including data management, data analysis layer and service provision. At first, a large amount of remote education course ideological and political data is collected through the network, database and various mobile platforms. After the data is preprocessed, knowledge graphs and data mining techniques are used to mine the ideological and political elements of the course and develop personalized ideological and political learning program. Distance education curriculum ideology and politics are supported to teach students according to their aptitudes, and focus on students' individualized ideology and politics learning, then improve the teaching effect of distance education ideology and politics lessons. ? 2020 IEEE.